Data Scientist

Responsibilities:

• Develop an in depth understanding of user journeys and generate data driven insights & recommendations to help product and customer success teams in meticulous decision making.

• Define and analyze key product data sets to understand customer and product behavior.

• Work with stakeholders throughout the organization to identify opportunities for leveraging data to identify areas of growth and build strong data backed business cases around the same.

• Perform statistical analysis/modelling on data and uncover hidden data patterns and correlations.

• Perform feature engineering and develop and deploy predictive models/algorithms.

• Coordinate with different teams to implement and deploy AI/ML driven models.

• Conduct ad hoc analysis around product areas for growth hacking and produce consumable reports for multiple business stake holders.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Skills:

• At least 2 4 years of experience of working with real world data and building statistical models.

• Hands on experience of programming with Python, including working knowledge of packages like Pandas, Numpy , SciPy , Scikit Learn,Seaborn,Plotly etc.

• Hands on knowledge of SQL and Excel.

• Deep understanding of key supervised and unsupervised ML algorithms should be able to explain what is happening under the hood and their real world advantages/drawbacks.

• Strong foundation of statistics and probability theory.

• Knowledge of advanced statistical techniques and concepts (properties of distributions, statistical tests, simulations, Marko v chain etc.) and experience with applications.

Other Skills:

• Preferred Domain Experience: Gaming, E Commerce, or any B2C experience.

• Ability to break a problem into smaller chunks and design solution accordingly.

• Ability to dive deeper into data, ask right questions, analyze with statistical methods and generate insights.

• Ability to write modular, clean and well documented code along with crisp design documents.

• Strong communication and presentation skills.